Peña-Sanchez, Yerai and Faedo, Nicolás and Ringwood, John (2019) Moment-based parametric identification of arrays of wave energy converters. In: 2019 American Control Conference (ACC). IEEE, pp. 4785-4790. ISBN 9781538679265

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Abstract

The motion of a Wave Energy Converter (WEC) can be described in terms of an integro-differential equation, which includes a convolution term accounting for the radiation forces. Since such a convolution term represents a drawback for both simulation and model-based control, it is usually approximated by a parametric form to be later embedded into the WEC dynamical equation. When an array of WECs is considered, a separate convolution term is required for each cross-coupling component (arising from device interactions), which increases the complexity of the problem. In this paper, a framework to compute a parametric model for array of WEC devices based on moment-matching is presented. The proposed method shows a significant simulation computational saving, compared to other parametric identification methods, which is illustrated by the means of a numerical example.

Item Type:	Book Section
Additional Information:	Cite as: Y. Peña-Sanchez, N. Faedo and J. V. Ringwood, "Moment-Based Parametric Identification of Arrays of Wave Energy Converters* This material is based upon works supported by Science Foundation Ireland under Grant no. 13/IA/1886.," 2019 American Control Conference (ACC), Philadelphia, PA, USA, 2019, pp. 4785-4790, doi: 10.23919/ACC.2019.8814979.
Keywords:	Moment-Based; Parametric; Identification; Arrays; Wave Energy; Converters;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research Faculty of Science and Engineering > Electronic Engineering
Item ID:	14282
Identification Number:	https://doi.org/10.23919/ACC.2019.8814979
Depositing User:	Professor John Ringwood
Date Deposited:	30 Mar 2021 15:14
Publisher:	IEEE
Refereed:	Yes
Funders:	Science Foundation Ireland (SFI)
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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